ANFIS
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Fuzzy Boolean nets -- a nature inspired model for learning and reasoning ⋮ Stable indirect adaptive control based on discrete-time T-S fuzzy model ⋮ A fuzzy-neural multi-model for nonlinear systems identification and control ⋮ Adaptive fuzzy wavelet network control design for nonlinear systems ⋮ Identification of fuzzy models using a successive tuning method with a variant identification ratio ⋮ Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning ⋮ Classification of gait patterns in patients with neurodegenerative disease using adaptive neuro-fuzzy inference system ⋮ A Boolean consistent fuzzy inference system for diagnosing diseases and its application for determining peritonitis likelihood ⋮ Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach ⋮ Adaptive neuro-fuzzy estimation of building augmentation of wind turbine power ⋮ Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process ⋮ A data analytic approach to forecasting daily stock returns in an emerging market ⋮ Gain scheduling: From conventional to neuro-fuzzy ⋮ Time-optimal, collision-free navigation of a car-like mobile robot using neuro-fuzzy approaches ⋮ Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons ⋮ Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge ⋮ Prediction of porosity and water saturation using pre-stack seismic attributes: a comparison of Bayesian inversion and computational intelligence methods ⋮ Multi-objective genetic algorithm for the optimization of road surface cleaning process ⋮ A novel feature selection approach: combining feature wrappers and filters ⋮ Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling ⋮ Advances in artificial neural networks -- methodological development and application ⋮ Real-time control of a rotary inverted pendulum using robust LQR-based ANFIS controller ⋮ A hierarchical procedure for the synthesis of ANFIS networks ⋮ Nonlinear partial least squares for consistency analysis of meteorological data ⋮ Fuzzy prediction of chaotic time series based on singular value decomposition ⋮ One step-ahead ANFIS time series model for forecasting electricity loads ⋮ A new recurrent neurofuzzy network for identification of dynamic systems ⋮ Inferring operating rules for reservoir operations using fuzzy regression and ANFIS ⋮ Neuro-fuzzy based constraint programming ⋮ Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection ⋮ Medical diagnosis of rheumatoid arthritis disease from right and left hand ulnar artery Doppler signals using adaptive network based fuzzy inference system (ANFIS) and MUSIC method ⋮ FS-FOIL: An inductive learning method for extracting interpretable fuzzy descriptions ⋮ A hierarchical recurrent neuro-fuzzy model for system identification ⋮ A prototype-based rule inference system incorporating linear functions ⋮ Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems ⋮ Parameter identification of TSK neuro-fuzzy models ⋮ Fuzzy active noise modeling and control. ⋮ Granular fuzzy models: analysis, design, and evaluation ⋮ A rule-based development of incremental models ⋮ Lyapunov stability analysis of gradient descent-learning algorithm in network training ⋮ Genetically optimized hybrid fuzzy set based polynomial neural networks ⋮ Numerical simulation of distributed dynamic systems using hybrid intelligent computing combined with generalized similarity analysis ⋮ Fuzzy neural adaptive tracking control of unknown chaotic systems with input saturation ⋮ Optimal control for stochastic linear quadratic singular periodic neuro Takagi-Sugeno (T-S) fuzzy system with singular cost using ant colony programming ⋮ Neuro-fuzzy and genetic algorithm in multiple response optimization. ⋮ Fuzzy rough granular neural networks, fuzzy granules, and classification ⋮ Optimal design of structures subjected to time history loading by swarm intelligence and an advanced metamodel ⋮ Cross-shore sediment transport estimation using fuzzy inference system in the swash zone ⋮ Neural networks approach for determining total claim amounts in insurance ⋮ Artificial wavelet neuro-fuzzy model based on parallel wavelet network and neural network ⋮ Bitcoin price forecasting with neuro-fuzzy techniques ⋮ Self-learning general purpose PID controller ⋮ A new credibilistic clustering algorithm ⋮ Human computer interface and optimized electro-mechanical design for Chinese Braille display ⋮ On-line fuzzy modeling via clustering and support vector machines ⋮ Data-based models for the prediction of dam behaviour: a review and some methodological considerations ⋮ Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market ⋮ Rough subspace neuro-fuzzy system ⋮ Measures of ruleset quality for general rules extraction methods ⋮ Piecewise parametric polynomial fuzzy sets ⋮ Linguistic modelling and information coarsening based on prototype theory and label semantics ⋮ A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction ⋮ Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness ⋮ Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization ⋮ Identification of fuzzy relation models using hierarchical fair competition-based parallel genetic algorithms and information granulation ⋮ Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach ⋮ Tuning of PID controllers for unstable processes based on gain and phase margin specifications: A fuzzy neural approach ⋮ Trade-off between accuracy and interpretability: experience-oriented fuzzy modeling via reduced-set vectors ⋮ A species-based improved electromagnetism-like mechanism algorithm for TSK-type interval-valued neural fuzzy system optimization ⋮ An on-line algorithm for creating self-organizing fuzzy neural networks ⋮ Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning ⋮ A modified gradient-based neuro-fuzzy learning algorithm and its convergence ⋮ Shape optimal design of arch dams using an adaptive neuro-fuzzy inference system and improved particle swarm optimization ⋮ A comparison of networked approximators in parallel mode identification of a bioreactor ⋮ A fuzzy adaptive network approach to parameter estimation in cases where independent variables come from an exponential distribution ⋮ Geoacoustic inversion using adaptive neuro-fuzzy inference system ⋮ Trajectory tracking in aircraft landing operations management using the adaptive neural fuzzy inference system ⋮ Determining turbulent flow friction coefficient using adaptive neuro-fuzzy computing technique ⋮ Memory-based neuro-fuzzy system for interpolation of reflection coefficients of printing inks ⋮ Adaptive neuro-fuzzy computing technique for suspended sediment estimation ⋮ Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS ⋮ GA-based fuzzy sliding mode controller for nonlinear systems ⋮ Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base ⋮ Neuro-fuzzy approach in estimating Hazen-Williams friction coefficient for small-diameter polyethylene pipes ⋮ Rule generation for hierarchical collaborative fuzzy system ⋮ Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter ⋮ Performance enhancement for neural fuzzy systems using asymmetric membership functions ⋮ Incremental learning of dynamic fuzzy neural networks for accurate system modeling ⋮ Dynamic programming strategy based on a type-2 fuzzy wavelet neural network ⋮ Neuro-fuzzy systems for function approximation ⋮ Designing fuzzy controllers by rapid learning. ⋮ Defuzzification filters and applications to power system stabilization problems ⋮ A neural model for fuzzy Dempster-Shafer classifiers ⋮ Scenery image recognition and interpretation using fuzzy inference neural networks ⋮ Genetic programming for model selection of TSK-fuzzy systems ⋮ Hierarchical genetic fuzzy systems ⋮ Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems ⋮ Approximative fuzzy rules approaches for classification with hybrid-GA techniques ⋮ Deriving prediction intervals for neuro-fuzzy networks ⋮ New dynamic fuzzy structure and dynamic system identification
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